social constructs / context (ontologically):
political science is about understanding complex interconnected meanings rather than discovering changing truths.
The limitations of constructivism arise from its reliance on subjective interpretations of reality, which can lead to inconsistencies in understanding across different cultures and contexts.
Additionally, the emphasis on individual or group perspectives may overlook the role of objective realities that exist independently of social constructs.
In AI, this limitation becomes evident when algorithms are trained on biased data, reflecting the subjective views of their creators rather than an objective understanding of the world.
this leads to societal inequalities
context and perception (epistemologically):
which can reinforce existing power dynamics and marginalize underrepresented voices, ultimately hindering equitable access to information and resources.
in relation to AI, the limitations of constructivism become particularly evident as algorithms may perpetuate biases present in training data, thus exacerbating disparities and failing to account for diverse perspectives.
open-ended and dynamic (methodologically):
less rigorous than positivist approaches
decision-makers prefer quantitative data over qualitative data.
methods should take a pluralistic / holistic approach to political research because they allow for a more comprehensive understanding of complex social phenomena, incorporating diverse perspectives and experiences that quantitative methods alone may overlook.